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ExcEED

ExcEED – European Energy Efficient buildingdistrict Database: from data to information to knowledge
Funder: European CommissionProject code: 723858 Call for proposal: H2020-EEB-2016
Funded under: H2020 | CSA Overall Budget: 749,634 EURFunder Contribution: 749,634 EUR
Description

The European Union is undertaking consistent action to enforce and promote energy efficiency in building sector. The new energy efficient constructions, expression of the European efforts to decrease CO2 emissions, represent a growing share of the building stock. Now there is an unavoidable need to learn from what we are doing, or have recently done, to improve the quality and the performances of the future building sector. This proposal plans the creation of European Energy Efficient building & district Database (ExcEED). ExcEED will be a solid and well-structured database with measured and qualitative information from beyond the state of the art buildings. The key aspects of the database will be: • A set of tools that allows geo-clustered, statistical, and knowledge analysis of the data; • A collection of tailored Key Performance Indicators (KPIs) that will “transform data into information”; • The ability to analyse building-district interaction; • The existence of the database and associated analyses will be guaranteed beyond the project conclusion thanks to a model of financial self-support; • The ability to continuously gather new data thanks to specific features (e.g. occupant surveys) that increase project visibility among designers with interest in the major rating schemes (e.g. LEED); • The connection with the major EU financed databases on buildings (i.e. Building Observatory). The advanced tools and KPIs associated to the database will allow the analysis of energy performance and environmental quality at the level of single building/district, geo-cluster of buildings, and European new or renovated building stock. The analysis will result in knowledge to inform single building managers, designers, and European policy makers.

Data Management Plans
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